With the increasing availability of temporal data, researchers often analyze information stored in matrices, in which entries are replicated on different occasions. Such multidimensional data can be stored in 3-way arrays or tensors to be analyzed. A collection of 3-way arrays can also be available leading to 4-way arrays. In this work, we apply a tensor-based method, the Tucker4, to mortality data provided by the World Health Organization, referred to 4 dimensions (causes of death, age groups, years, and countries) and organized in a 4-way array. We carry out the analysis on the total population. Our findings reveal some peculiar aspects of the mortality phenomenon.

An Application of the Tensor-Based Approach to Mortality Modeling / Cardillo, Giovanni; Giordani, Paolo; Levantesi, Susanna; Nigri, Andrea. - (2022), pp. 134-139. (Intervento presentato al convegno Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022 tenutosi a Salerno) [10.1007/978-3-030-99638-3_22].

An Application of the Tensor-Based Approach to Mortality Modeling

Giovanni Cardillo;Paolo Giordani;Susanna Levantesi;Andrea Nigri
2022

Abstract

With the increasing availability of temporal data, researchers often analyze information stored in matrices, in which entries are replicated on different occasions. Such multidimensional data can be stored in 3-way arrays or tensors to be analyzed. A collection of 3-way arrays can also be available leading to 4-way arrays. In this work, we apply a tensor-based method, the Tucker4, to mortality data provided by the World Health Organization, referred to 4 dimensions (causes of death, age groups, years, and countries) and organized in a 4-way array. We carry out the analysis on the total population. Our findings reveal some peculiar aspects of the mortality phenomenon.
2022
Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022
temporal data; Tucker4; mortality
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
An Application of the Tensor-Based Approach to Mortality Modeling / Cardillo, Giovanni; Giordani, Paolo; Levantesi, Susanna; Nigri, Andrea. - (2022), pp. 134-139. (Intervento presentato al convegno Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022 tenutosi a Salerno) [10.1007/978-3-030-99638-3_22].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1666906
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